Michael J. Kraakman
- Epidemiology top 5%
- Molecular Biology
- Physiology top 5%
- Immunology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Andrew MurphyMark A. FebbraioKarin Jandeleit‐DahmHélène L. KammounPrabhakara R. NagareddyDragana DragoljevicGraeme I. LancasterAlan R. Tall
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (8 papers)Pancreatic function and diabetes (6 papers)Adipose Tissue and Metabolism (5 papers)
- Cited by
- ImmunologyPhysiologyEpidemiology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Cell Biology
- Partner nations
- AustraliaUnited StatesNetherlands
In The Last Decade
Michael J. Kraakman
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Epidemiology 546
- Molecular Biology 456
- Physiology 419
- Immunology 413
- Endocrinology, Diabetes and Metabolism 202
Countries citing papers authored by Michael J. Kraakman
This map shows the geographic impact of Michael J. Kraakman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael J. Kraakman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Kraakman more than expected).
Fields of papers citing papers by Michael J. Kraakman
This network shows the impact of papers produced by Michael J. Kraakman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael J. Kraakman. The network helps show where Michael J. Kraakman may publish in the future.
Co-authorship network of co-authors of Michael J. Kraakman
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Kraakman. A scholar is included among the top collaborators of Michael J. Kraakman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Kraakman. Michael J. Kraakman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 50 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 29 | |
| 9 | 51 | |
| 10 | 8 | |
| 11 | 53 | |
| 12 | 49 | |
| 13 | 66 | |
| 14 | 10 | |
| 15 | 15 | |
| 16 | 27 | |
| 17 | 197 | |
| 18 | 8 | |
| 19 | 375 | |
| 20 | 16 |
About Michael J. Kraakman
Michael J. Kraakman is a scholar working on Endocrine and Autonomic Systems, Immunology and Epidemiology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Pancreatic function and diabetes (6 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Immunology (413 citations), Physiology (419 citations) and Epidemiology (546 citations). Michael J. Kraakman has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Andrew Murphy, Mark A. Febbraio, Karin Jandeleit‐Dahm, Hélène L. Kammoun, Prabhakara R. Nagareddy, Dragana Dragoljevic, Graeme I. Lancaster, Alan R. Tall, Seth L. Masters and Edward A. Fisher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.